Duits Engels

s0.f055

460 Formulieren  
  1. StudyEvent: SHIP-0
    1. s0.dinopd
    2. s0.f174
    3. s0.trv_inantrv_inan
    4. s0.odmodm
    5. s0.trv_neurtrv_neur
    6. s0.trv_meditrv_medi
    7. s0.trv_chrotrv_chro
    8. s0.trv_womtrv_wom
    9. s0.trv_menttrv_ment
    10. s0.trv_incotrv_inco
    11. s0.pbmage
    12. s0.trv_foodtrv_food
    13. s0.f126
    14. s0.taketake
    15. s0.f000
    16. s0.f149
    17. s0.trv_cvdtrv_cvd
    18. s0.morta
    19. s0.f226
    20. s0.f182
    21. s0.trv_mortrv_mor
    22. s0.trv_vacctrv_vacc
    23. s0.trv_weigtrv_weig
    24. s0.identident
    25. s0.trv_dextrv_dex
    26. s0.trv_ccatrv_cca
    27. s0.trv_socitrv_soci
    28. s0.f223
    29. s0.trv_somatrv_soma
    30. s0.trv_asthtrv_asth
    31. s0.trv_sleetrv_slee
    32. s0.trv_risktrv_risk
    33. s0.trv_heptrv_hep
    34. s0.trv_metatrv_meta
    35. s0.f234
    36. s0.f051
    37. s0.f019
    38. s0.trv_thyrtrv_thyr
    39. s0.trv_labtrv_lab
    40. s0.f151
    41. s0.f054
    42. s0.f021
    43. s0.f017
    44. s0.id
    45. s0.sex
    46. s0.allgemei
    47. s0.f001
    48. s0.mshmsh
    49. s0.f004
    50. s0.examin
    51. s0.f005
    52. s0.01
    53. s0.f006
    54. s0.f007
    55. s0.f008
    56. s0.02
    57. s0.03
    58. s0.f009
    59. s0.04
    60. s0.blooduri
    61. s0.f010
    62. s0.deximpressread
    63. s0.05
    64. s0.crp_hs
    65. s0.f011
    66. s0.trv_morgam
    67. s0.weather
    68. s0.re_livr
    69. s0.06
    70. s0.f012
    71. s0.07
    72. s0.08
    73. s0.09
    74. s0.10
    75. s0.11
    76. s0.f013
    77. s0.f014
    78. s0.bloodpre
    79. s0.12
    80. s0.f015
    81. s0.13
    82. s0.f016
    83. s0.14
    84. s0.f018
    85. s0.15
    86. s0.16
    87. s0.f020
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    90. s0.19
    91. s0.f022
    92. s0.f023
    93. s0.f024
    94. s0.zeze
    95. s0.f025
    96. s0.laxhormon
    97. s0.f026
    98. s0.f027
    99. s0.f028
    100. s0.20
    101. s0.f029
    102. s0.f030
    103. s0.f031
    104. s0.f032
    105. s0.echoallg
    106. s0.f033
    107. s0.21
    108. s0.f034
    109. s0.f035
    110. s0.f036
    111. s0.f037
    112. s0.f038
    113. s0.22
    114. s0.f039
    115. s0.f040
    116. s0.23
    117. s0.echovalv
    118. s0.24
    119. s0.ecgallg
    120. s0.25
    121. s0.26
    122. s0.carotidu
    123. s0.27
    124. s0.28
    125. s0.f041
    126. s0.29
    127. s0.liverus
    128. s0.f042
    129. s0.f043
    130. s0.30
    131. s0.f044
    132. s0.f045
    133. s0.f046
    134. s0.31
    135. s0.32
    136. s0.f047
    137. s0.33
    138. s0.34
    139. s0.35
    140. s0.36
    141. s0.37
    142. s0.38
    143. s0.neurolog
    144. s0.39
    145. s0.40
    146. s0.41
    147. s0.42
    148. s0.43
    149. s0.thyroidu
    150. s0.44
    151. s0.f048
    152. s0.f049
    153. s0.45
    154. s0.f050
    155. s0.46
    156. s0.47
    157. s0.f052
    158. s0.48
    159. s0.f053
    160. s0.49
    161. s0.50
    162. s0.51
    163. s0.f055
    164. s0.somatom
    165. s0.52
    166. s0.fafa
    167. s0.53
    168. s0.54
    169. s0.55
    170. s0.f056
    171. s0.f057
    172. s0.mmodelv
    173. s0.56
    174. s0.f058
    175. s0.f059
    176. s0.57
    177. s0.f060
    178. s0.f061
    179. s0.mmodela
    180. s0.f062
    181. s0.58
    182. s0.f063
    183. s0.f064
    184. s0.f065
    185. s0.f066
    186. s0.59
    187. s0.f067
    188. s0.f068
    189. s0.60
    190. s0.f069
    191. s0.f070
    192. s0.f071
    193. s0.61
    194. s0.f072
    195. s0.f073
    196. s0.62
    197. s0.imtmanue
    198. s0.63
    199. s0.f074
    200. s0.64
    201. s0.f075
    202. s0.65
    203. s0.f076
    204. s0.f077
    205. s0.66
    206. s0.f078
    207. s0.67
    208. s0.68
    209. s0.f079
    210. s0.69
    211. s0.f080
    212. s0.f081
    213. s0.f082
    214. s0.70
    215. s0.f083
    216. s0.71
    217. s0.72
    218. s0.f084
    219. s0.73
    220. s0.f085
    221. s0.74
    222. s0.f086
    223. s0.75
    224. s0.f087
    225. s0.76
    226. s0.f088
    227. s0.77
    228. s0.78
    229. s0.dynokkldynokkl
    230. s0.79
    231. s0.f089
    232. s0.f090
    233. s0.f091
    234. s0.f092
    235. s0.f093
    236. s0.f094
    237. s0.f095
    238. s0.f096
    239. s0.f097
    240. s0.f098
    241. s0.80
    242. s0.f099
    243. s0.f100
    244. s0.f101
    245. s0.f102
    246. s0.f103
    247. s0.f104
    248. s0.f105
    249. s0.f106
    250. s0.f107
    251. s0.f108
    252. s0.f109
    253. s0.f110
    254. s0.f111
    255. s0.f112
    256. s0.f113
    257. s0.f114
    258. s0.f115
    259. s0.f116
    260. s0.f117
    261. s0.f118
    262. s0.f119
    263. s0.f120
    264. s0.f121
    265. s0.f122
    266. s0.f123
    267. s0.f124
    268. s0.urin
    269. s0.81a
    270. s0.81
    271. s0.82
    272. s0.83
    273. s0.cral
    274. s0.84
    275. s0.85
    276. s0.86
    277. s0.re_lipo
    278. s0.87
    279. s0.ecgproce
    280. s0.papa
    281. s0.88
    282. s0.89
    283. s0.qmqm
    284. s0.f125
    285. s0.f127
    286. s0.f128
    287. s0.f129
    288. s0.f130
    289. s0.f131
    290. s0.f132
    291. s0.xtd_espr
    292. s0.f133
    293. s0.f134
    294. s0.f135
    295. s0.f136
    296. s0.f137
    297. s0.f138
    298. s0.f139
    299. s0.f140
    300. s0.f141
    301. s0.f142
    302. s0.f143
    303. s0.f144
    304. s0.imtaggre
    305. s0.f145
    306. s0.f146
    307. s0.f147
    308. s0.f148
    309. s0.f150
    310. s0.f152
    311. s0.f153
    312. s0.f154
    313. s0.f155
    314. s0.f156
    315. s0.f157
    316. s0.f158
    317. s0.f159
    318. s0.f160
    319. s0.f161
    320. s0.re_hormon
    321. s0.f162
    322. s0.f163
    323. s0.f164
    324. s0.f165
    325. s0.f166
    326. s0.pyri
    327. s0.f167
    328. s0.f168
    329. s0.f169
    330. s0.f170
    331. s0.f171
    332. s0.f172
    333. s0.hpylori
    334. s0.f173
    335. s0.f175
    336. s0.f176
    337. s0.xtd_omics
    338. s0.re_renal
    339. s0.xtd_kard
    340. s0.f177
    341. s0.f178
    342. s0.f179
    343. s0.f180
    344. s0.f181
    345. s0.f183
    346. s0.f184
    347. s0.f185
    348. s0.f186
    349. s0.f187
    350. s0.f188
    351. s0.f189
    352. s0.f190
    353. s0.f191
    354. s0.f192
    355. s0.f193
    356. s0.f194
    357. s0.f195
    358. s0.f196
    359. s0.f197
    360. s0.f198
    361. s0.f199
    362. s0.f200
    363. s0.f201
    364. s0.f202
    365. s0.f203
    366. s0.f204
    367. s0.f205
    368. s0.f206
    369. s0.f207
    370. s0.f208
    371. s0.re_kard
    372. s0.f209
    373. s0.f210
    374. s0.f211
    375. s0.f212
    376. s0.f213
    377. s0.f214
    378. s0.f215
    379. s0.f216
    380. s0.f217
    381. s0.f218
    382. s0.f219
    383. s0.f220
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    385. s0.f222
    386. s0.f224
    387. s0.f225
    388. s0.f227
    389. s0.f228
    390. s0.f229
    391. s0.f230
    392. s0.f231
    393. s0.f232
    394. s0.f233
    395. s0.f235
    396. s0.f236
    397. s0.f237
    398. s0.f238
    399. s0.f239
    400. s0.f240
    401. s0.f241
    402. s0.f242
    403. s0.f243
    404. s0.f244
    405. s0.f245
    406. s0.f246
    407. s0.f247
    408. s0.f248
    409. s0.f252
    410. s0.f253
    411. s0.f254
    412. s0.f256
    413. s0.f257
    414. s0.f258
    415. s0.comcom
    416. s0.f249
    417. s0.f250
    418. s0.f251
    419. s0.f255
    420. s0.re_vitamin
    421. s0.re_infl
    422. s0.re_rheuma
    423. s0.re_prostate
    424. s0.re_mab
    425. s0.rcirci
    426. s0.dmfsdmfs
    427. s0.re_diabetes
    428. s0.allgzaallgza
    429. s0.kfokfo
    430. s0.zstammzstamm
    431. s0.f_001
    432. s0.f_002
    433. s0.f_003
    434. s0.f_004
    435. s0.f_005
    436. s0.f_006
    437. s0.f_006a
    438. s0.f_007
    439. s0.f_008
    440. s0.f_009
    441. s0.f_010
    442. s0.f_011
    443. s0.f_012
    444. s0.f_013
    445. s0.f_014
    446. s0.f_014a
    447. s0.f_015
    448. s0.f_016
    449. s0.f_017
    450. s0.f_018
    451. s0.f_019
    452. s0.klbb
    453. s0.spec
    454. s0.glyk
    455. s0.geri
    456. s0.espr
    457. s0.livr
    458. s0.lipo
    459. s0.thyr
    460. s0.mibi
Item Group s0.f055
Beschrijving

Item Group s0.f055

Ortskrankenkasse (AOK)
Beschrijving

kk

Datatype

integer

Alias
VAR_NAMES
kk
LABEL
medical insurance plan
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
150.0
LABEL_DE
Ortskrankenkasse (AOK)
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Ersatzkasse
Beschrijving

kk_2

Datatype

integer

Alias
VAR_NAMES
kk_2
LABEL
substitute sickness insurance
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
151.0
LABEL_DE
Ersatzkasse
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_2
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Betriebskrankenkasse
Beschrijving

kk_3

Datatype

integer

Alias
VAR_NAMES
kk_3
LABEL
company health insurance funds
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
152.0
LABEL_DE
Betriebskrankenkasse
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_3
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Bundespost- oder Bundesbeamtenkk
Beschrijving

kk_4

Datatype

integer

Alias
VAR_NAMES
kk_4
LABEL
health insurance funds of Federal Mail or German National Railways
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
153.0
LABEL_DE
Bundespost- oder Bundesbeamtenkk
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_4
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
andere Beamtenkk, Beihilfe
Beschrijving

kk_5

Datatype

integer

Alias
VAR_NAMES
kk_5
LABEL
other civil service health insurance funds, financial aids
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
154.0
LABEL_DE
andere Beamtenkk, Beihilfe
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_5
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Innungskrankenkasse
Beschrijving

kk_6

Datatype

integer

Alias
VAR_NAMES
kk_6
LABEL
health insurance of guilds
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
155.0
LABEL_DE
Innungskrankenkasse
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_6
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Landwirtschaftliche Krankenkasse
Beschrijving

kk_7

Datatype

integer

Alias
VAR_NAMES
kk_7
LABEL
agricultural health insurance funds
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
156.0
LABEL_DE
Landwirtschaftliche Krankenkasse
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_7
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Private Krankenversicherung
Beschrijving

kk_8

Datatype

integer

Alias
VAR_NAMES
kk_8
LABEL
private health insurance
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
157.0
LABEL_DE
Private Krankenversicherung
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_8
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Sonstige Krankenkasse
Beschrijving

kk_9

Datatype

integer

Alias
VAR_NAMES
kk_9
LABEL
other health insurance
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
158.0
LABEL_DE
Sonstige Krankenkasse
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_9
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Keine Krankenversicherung
Beschrijving

kk_10

Datatype

integer

Alias
VAR_NAMES
kk_10
LABEL
no health insurance
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
159.0
LABEL_DE
Keine Krankenversicherung
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_10
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Weiß nicht
Beschrijving

kk_11

Datatype

integer

Alias
VAR_NAMES
kk_11
LABEL
don't know
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
160.0
LABEL_DE
Weiß nicht
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_11
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
Antwortverweigerung
Beschrijving

kk_12

Datatype

integer

Alias
VAR_NAMES
kk_12
LABEL
answer refused
DATA_TYPE
integer
VALUE_LABELS
0=no|1=yes
MISSING_LIST_TABLE
missing_table_3050
STUDY_SEGMENT
s0.f055
VARIABLE_ORDER
161.0
LABEL_DE
Antwortverweigerung
VALUE_LABELS_DE
0=nein|1=ja
TABLE_NAME
T_INT
UNIQUE_NAME
s0.kk_12
SOURCE
SHIP
DCE
SHIP-0
HIERARCHY
SHIP|SHIP0|INT|UTIL|F055
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Similar models

s0.f055

460 Formulieren
  1. StudyEvent: SHIP-0
    1. s0.dinopd
    2. s0.f174
    3. s0.trv_inantrv_inan
    4. s0.odmodm
    5. s0.trv_neurtrv_neur
    6. s0.trv_meditrv_medi
    7. s0.trv_chrotrv_chro
    8. s0.trv_womtrv_wom
    9. s0.trv_menttrv_ment
    10. s0.trv_incotrv_inco
    11. s0.pbmage
    12. s0.trv_foodtrv_food
    13. s0.f126
    14. s0.taketake
    15. s0.f000
    16. s0.f149
    17. s0.trv_cvdtrv_cvd
    18. s0.morta
    19. s0.f226
    20. s0.f182
    21. s0.trv_mortrv_mor
    22. s0.trv_vacctrv_vacc
    23. s0.trv_weigtrv_weig
    24. s0.identident
    25. s0.trv_dextrv_dex
    26. s0.trv_ccatrv_cca
    27. s0.trv_socitrv_soci
    28. s0.f223
    29. s0.trv_somatrv_soma
    30. s0.trv_asthtrv_asth
    31. s0.trv_sleetrv_slee
    32. s0.trv_risktrv_risk
    33. s0.trv_heptrv_hep
    34. s0.trv_metatrv_meta
    35. s0.f234
    36. s0.f051
    37. s0.f019
    38. s0.trv_thyrtrv_thyr
    39. s0.trv_labtrv_lab
    40. s0.f151
    41. s0.f054
    42. s0.f021
    43. s0.f017
    44. s0.id
    45. s0.sex
    46. s0.allgemei
    47. s0.f001
    48. s0.mshmsh
    49. s0.f004
    50. s0.examin
    51. s0.f005
    52. s0.01
    53. s0.f006
    54. s0.f007
    55. s0.f008
    56. s0.02
    57. s0.03
    58. s0.f009
    59. s0.04
    60. s0.blooduri
    61. s0.f010
    62. s0.deximpressread
    63. s0.05
    64. s0.crp_hs
    65. s0.f011
    66. s0.trv_morgam
    67. s0.weather
    68. s0.re_livr
    69. s0.06
    70. s0.f012
    71. s0.07
    72. s0.08
    73. s0.09
    74. s0.10
    75. s0.11
    76. s0.f013
    77. s0.f014
    78. s0.bloodpre
    79. s0.12
    80. s0.f015
    81. s0.13
    82. s0.f016
    83. s0.14
    84. s0.f018
    85. s0.15
    86. s0.16
    87. s0.f020
    88. s0.17
    89. s0.18
    90. s0.19
    91. s0.f022
    92. s0.f023
    93. s0.f024
    94. s0.zeze
    95. s0.f025
    96. s0.laxhormon
    97. s0.f026
    98. s0.f027
    99. s0.f028
    100. s0.20
    101. s0.f029
    102. s0.f030
    103. s0.f031
    104. s0.f032
    105. s0.echoallg
    106. s0.f033
    107. s0.21
    108. s0.f034
    109. s0.f035
    110. s0.f036
    111. s0.f037
    112. s0.f038
    113. s0.22
    114. s0.f039
    115. s0.f040
    116. s0.23
    117. s0.echovalv
    118. s0.24
    119. s0.ecgallg
    120. s0.25
    121. s0.26
    122. s0.carotidu
    123. s0.27
    124. s0.28
    125. s0.f041
    126. s0.29
    127. s0.liverus
    128. s0.f042
    129. s0.f043
    130. s0.30
    131. s0.f044
    132. s0.f045
    133. s0.f046
    134. s0.31
    135. s0.32
    136. s0.f047
    137. s0.33
    138. s0.34
    139. s0.35
    140. s0.36
    141. s0.37
    142. s0.38
    143. s0.neurolog
    144. s0.39
    145. s0.40
    146. s0.41
    147. s0.42
    148. s0.43
    149. s0.thyroidu
    150. s0.44
    151. s0.f048
    152. s0.f049
    153. s0.45
    154. s0.f050
    155. s0.46
    156. s0.47
    157. s0.f052
    158. s0.48
    159. s0.f053
    160. s0.49
    161. s0.50
    162. s0.51
    163. s0.f055
    164. s0.somatom
    165. s0.52
    166. s0.fafa
    167. s0.53
    168. s0.54
    169. s0.55
    170. s0.f056
    171. s0.f057
    172. s0.mmodelv
    173. s0.56
    174. s0.f058
    175. s0.f059
    176. s0.57
    177. s0.f060
    178. s0.f061
    179. s0.mmodela
    180. s0.f062
    181. s0.58
    182. s0.f063
    183. s0.f064
    184. s0.f065
    185. s0.f066
    186. s0.59
    187. s0.f067
    188. s0.f068
    189. s0.60
    190. s0.f069
    191. s0.f070
    192. s0.f071
    193. s0.61
    194. s0.f072
    195. s0.f073
    196. s0.62
    197. s0.imtmanue
    198. s0.63
    199. s0.f074
    200. s0.64
    201. s0.f075
    202. s0.65
    203. s0.f076
    204. s0.f077
    205. s0.66
    206. s0.f078
    207. s0.67
    208. s0.68
    209. s0.f079
    210. s0.69
    211. s0.f080
    212. s0.f081
    213. s0.f082
    214. s0.70
    215. s0.f083
    216. s0.71
    217. s0.72
    218. s0.f084
    219. s0.73
    220. s0.f085
    221. s0.74
    222. s0.f086
    223. s0.75
    224. s0.f087
    225. s0.76
    226. s0.f088
    227. s0.77
    228. s0.78
    229. s0.dynokkldynokkl
    230. s0.79
    231. s0.f089
    232. s0.f090
    233. s0.f091
    234. s0.f092
    235. s0.f093
    236. s0.f094
    237. s0.f095
    238. s0.f096
    239. s0.f097
    240. s0.f098
    241. s0.80
    242. s0.f099
    243. s0.f100
    244. s0.f101
    245. s0.f102
    246. s0.f103
    247. s0.f104
    248. s0.f105
    249. s0.f106
    250. s0.f107
    251. s0.f108
    252. s0.f109
    253. s0.f110
    254. s0.f111
    255. s0.f112
    256. s0.f113
    257. s0.f114
    258. s0.f115
    259. s0.f116
    260. s0.f117
    261. s0.f118
    262. s0.f119
    263. s0.f120
    264. s0.f121
    265. s0.f122
    266. s0.f123
    267. s0.f124
    268. s0.urin
    269. s0.81a
    270. s0.81
    271. s0.82
    272. s0.83
    273. s0.cral
    274. s0.84
    275. s0.85
    276. s0.86
    277. s0.re_lipo
    278. s0.87
    279. s0.ecgproce
    280. s0.papa
    281. s0.88
    282. s0.89
    283. s0.qmqm
    284. s0.f125
    285. s0.f127
    286. s0.f128
    287. s0.f129
    288. s0.f130
    289. s0.f131
    290. s0.f132
    291. s0.xtd_espr
    292. s0.f133
    293. s0.f134
    294. s0.f135
    295. s0.f136
    296. s0.f137
    297. s0.f138
    298. s0.f139
    299. s0.f140
    300. s0.f141
    301. s0.f142
    302. s0.f143
    303. s0.f144
    304. s0.imtaggre
    305. s0.f145
    306. s0.f146
    307. s0.f147
    308. s0.f148
    309. s0.f150
    310. s0.f152
    311. s0.f153
    312. s0.f154
    313. s0.f155
    314. s0.f156
    315. s0.f157
    316. s0.f158
    317. s0.f159
    318. s0.f160
    319. s0.f161
    320. s0.re_hormon
    321. s0.f162
    322. s0.f163
    323. s0.f164
    324. s0.f165
    325. s0.f166
    326. s0.pyri
    327. s0.f167
    328. s0.f168
    329. s0.f169
    330. s0.f170
    331. s0.f171
    332. s0.f172
    333. s0.hpylori
    334. s0.f173
    335. s0.f175
    336. s0.f176
    337. s0.xtd_omics
    338. s0.re_renal
    339. s0.xtd_kard
    340. s0.f177
    341. s0.f178
    342. s0.f179
    343. s0.f180
    344. s0.f181
    345. s0.f183
    346. s0.f184
    347. s0.f185
    348. s0.f186
    349. s0.f187
    350. s0.f188
    351. s0.f189
    352. s0.f190
    353. s0.f191
    354. s0.f192
    355. s0.f193
    356. s0.f194
    357. s0.f195
    358. s0.f196
    359. s0.f197
    360. s0.f198
    361. s0.f199
    362. s0.f200
    363. s0.f201
    364. s0.f202
    365. s0.f203
    366. s0.f204
    367. s0.f205
    368. s0.f206
    369. s0.f207
    370. s0.f208
    371. s0.re_kard
    372. s0.f209
    373. s0.f210
    374. s0.f211
    375. s0.f212
    376. s0.f213
    377. s0.f214
    378. s0.f215
    379. s0.f216
    380. s0.f217
    381. s0.f218
    382. s0.f219
    383. s0.f220
    384. s0.f221
    385. s0.f222
    386. s0.f224
    387. s0.f225
    388. s0.f227
    389. s0.f228
    390. s0.f229
    391. s0.f230
    392. s0.f231
    393. s0.f232
    394. s0.f233
    395. s0.f235
    396. s0.f236
    397. s0.f237
    398. s0.f238
    399. s0.f239
    400. s0.f240
    401. s0.f241
    402. s0.f242
    403. s0.f243
    404. s0.f244
    405. s0.f245
    406. s0.f246
    407. s0.f247
    408. s0.f248
    409. s0.f252
    410. s0.f253
    411. s0.f254
    412. s0.f256
    413. s0.f257
    414. s0.f258
    415. s0.comcom
    416. s0.f249
    417. s0.f250
    418. s0.f251
    419. s0.f255
    420. s0.re_vitamin
    421. s0.re_infl
    422. s0.re_rheuma
    423. s0.re_prostate
    424. s0.re_mab
    425. s0.rcirci
    426. s0.dmfsdmfs
    427. s0.re_diabetes
    428. s0.allgzaallgza
    429. s0.kfokfo
    430. s0.zstammzstamm
    431. s0.f_001
    432. s0.f_002
    433. s0.f_003
    434. s0.f_004
    435. s0.f_005
    436. s0.f_006
    437. s0.f_006a
    438. s0.f_007
    439. s0.f_008
    440. s0.f_009
    441. s0.f_010
    442. s0.f_011
    443. s0.f_012
    444. s0.f_013
    445. s0.f_014
    446. s0.f_014a
    447. s0.f_015
    448. s0.f_016
    449. s0.f_017
    450. s0.f_018
    451. s0.f_019
    452. s0.klbb
    453. s0.spec
    454. s0.glyk
    455. s0.geri
    456. s0.espr
    457. s0.livr
    458. s0.lipo
    459. s0.thyr
    460. s0.mibi
Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
Item Group s0.f055
Item
Ortskrankenkasse (AOK)
integer
kk (VAR_NAMES)
medical insurance plan (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
150.0 (VARIABLE_ORDER)
Ortskrankenkasse (AOK) (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Ortskrankenkasse (AOK)
CL Item
nein (0)
CL Item
ja (1)
Item
Ersatzkasse
integer
kk_2 (VAR_NAMES)
substitute sickness insurance (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
151.0 (VARIABLE_ORDER)
Ersatzkasse (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_2 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Ersatzkasse
CL Item
nein (0)
CL Item
ja (1)
Item
Betriebskrankenkasse
integer
kk_3 (VAR_NAMES)
company health insurance funds (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
152.0 (VARIABLE_ORDER)
Betriebskrankenkasse (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_3 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Betriebskrankenkasse
CL Item
nein (0)
CL Item
ja (1)
Item
Bundespost- oder Bundesbeamtenkk
integer
kk_4 (VAR_NAMES)
health insurance funds of Federal Mail or German National Railways (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
153.0 (VARIABLE_ORDER)
Bundespost- oder Bundesbeamtenkk (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_4 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Bundespost- oder Bundesbeamtenkk
CL Item
nein (0)
CL Item
ja (1)
Item
andere Beamtenkk, Beihilfe
integer
kk_5 (VAR_NAMES)
other civil service health insurance funds, financial aids (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
154.0 (VARIABLE_ORDER)
andere Beamtenkk, Beihilfe (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_5 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
andere Beamtenkk, Beihilfe
CL Item
nein (0)
CL Item
ja (1)
Item
Innungskrankenkasse
integer
kk_6 (VAR_NAMES)
health insurance of guilds (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
155.0 (VARIABLE_ORDER)
Innungskrankenkasse (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_6 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Innungskrankenkasse
CL Item
nein (0)
CL Item
ja (1)
Item
Landwirtschaftliche Krankenkasse
integer
kk_7 (VAR_NAMES)
agricultural health insurance funds (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
156.0 (VARIABLE_ORDER)
Landwirtschaftliche Krankenkasse (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_7 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Landwirtschaftliche Krankenkasse
CL Item
nein (0)
CL Item
ja (1)
Item
Private Krankenversicherung
integer
kk_8 (VAR_NAMES)
private health insurance (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
157.0 (VARIABLE_ORDER)
Private Krankenversicherung (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_8 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Private Krankenversicherung
CL Item
nein (0)
CL Item
ja (1)
Item
Sonstige Krankenkasse
integer
kk_9 (VAR_NAMES)
other health insurance (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
158.0 (VARIABLE_ORDER)
Sonstige Krankenkasse (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_9 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Sonstige Krankenkasse
CL Item
nein (0)
CL Item
ja (1)
Item
Keine Krankenversicherung
integer
kk_10 (VAR_NAMES)
no health insurance (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
159.0 (VARIABLE_ORDER)
Keine Krankenversicherung (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_10 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Keine Krankenversicherung
CL Item
nein (0)
CL Item
ja (1)
Item
Weiß nicht
integer
kk_11 (VAR_NAMES)
don't know (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
160.0 (VARIABLE_ORDER)
Weiß nicht (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_11 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Weiß nicht
CL Item
nein (0)
CL Item
ja (1)
Item
Antwortverweigerung
integer
kk_12 (VAR_NAMES)
answer refused (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_3050 (MISSING_LIST_TABLE)
s0.f055 (STUDY_SEGMENT)
161.0 (VARIABLE_ORDER)
Antwortverweigerung (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_INT (TABLE_NAME)
s0.kk_12 (UNIQUE_NAME)
SHIP (SOURCE)
SHIP-0 (DCE)
SHIP|SHIP0|INT|UTIL|F055 (HIERARCHY)
CL.92
Code List
Antwortverweigerung
CL Item
nein (0)
CL Item
ja (1)
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